descript-audiotools
Utilities for handling audio.
Decision gist · record as of 2026-08-14
No. The package is abandoned (1122 days since last release) with no maintenance signal, and its 22 heavy dependencies—particularly torch and torchaudio—create a high risk of compatibility drift. Unless you are locked into an existing codebase already using it, prefer actively maintained audio libraries like librosa, soundfile, or scipy.signal for new projects.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires torch and torchaudio, which have system-level dependencies and can take significant time to install; no explicit Python version requirement stated.
- Low install friction with a pure-Python wheel, but the package is abandoned as of 1122 days since its last release.
- Its 22 runtime dependencies include heavy libraries like torch, torchaudio, and librosa, which may take time to install depending on your environment.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing use in commercial and private projects with minimal restrictions.
last release 2023-07-19 (1122 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 464,582 downloads/mo, #6,516 on PyPI
Alternatives
Verify before relying
pip install descript-audiotools
import audiotools
from audiotools import AudioSignal
signal = AudioSignal("audio.wav", offset=5, duration=5)
signal.low_pass(8000)- Whether the package's 22 dependencies remain compatible with current versions of torch, scipy, librosa, and other heavy libraries given the 1122-day abandonment period.
- Whether the package works reliably with modern Python versions beyond 3.7, given no explicit requires_python constraint.
What it is and what it does
AudioTools is an object-oriented library for working with audio signals in Python. It wraps common audio operations—loading, filtering, playback, augmentation—into a unified API centered on the AudioSignal class, which represents an audio file or in-memory signal. The library handles batching, padding, and other preprocessing tasks commonly needed in audio machine learning pipelines.
The package depends on a large stack of scientific and audio libraries: numpy, scipy, librosa, torch, torchaudio, soundfile, and others. It is designed for developers building audio processing workflows, particularly in machine learning contexts. However, the package has been abandoned for over three years, meaning its dependencies may drift out of sync with current library versions, and bugs or compatibility issues are unlikely to be fixed.
Use it for
- Load, slice, and apply audio filters (low-pass, high-pass) to WAV files for preprocessing training data.
- Batch and augment audio signals for machine learning model training with consistent padding and normalization.
- Integrate audio signal handling into research or educational projects that already depend on torch and librosa.
- Playback and inspect audio signals programmatically during development or debugging of audio pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned (1122 days since last release) with no maintenance signal, and its 22 heavy dependencies—particularly torch and torchaudio—create a high risk of compatibility drift. Unless you are locked into an existing codebase already using it, prefer actively maintained audio libraries like librosa, soundfile, or scipy.signal for new projects.
Install
descript-audiotools on PyPI
Before you install
Low install friction with a pure-Python wheel, but the package is abandoned as of 1122 days since its last release. Its 22 runtime dependencies include heavy libraries like torch, torchaudio, and librosa, which may take time to install depending on your environment.
Requires torch and torchaudio, which have system-level dependencies and can take significant time to install; no explicit Python version requirement stated.
License in practice
MIT license is permissive, allowing use in commercial and private projects with minimal restrictions.
Quickstart
pip install descript-audiotools
import audiotools
from audiotools import AudioSignal
signal = AudioSignal("audio.wav", offset=5, duration=5)
signal.low_pass(8000)Verify before relying
- Whether the package's 22 dependencies remain compatible with current versions of torch, scipy, librosa, and other heavy libraries given the 1122-day abandonment period.
- Whether the package works reliably with modern Python versions beyond 3.7, given no explicit requires_python constraint.
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 22 packagesargbindnumpysoundfilepyloudnormimportlib-resourcesscipytorchjuliustorchaudioffmpyipythonrichmatplotliblibrosapystoitorch-stoiflatten-dictmarkdown2randomnameprotobuftensorboardtqdm |
| Maintenance | Abandoned 1,122 days since the last release |
| First released | |
| Downloads | 464,582 / month, #6,516 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchNatural Language :: EnglishProgramming Language :: Python :: 3.7Topic :: Artistic SoftwareTopic :: MultimediaTopic :: Multimedia :: Sound/AudioTopic :: Multimedia :: Sound/Audio :: EditorsTopic :: Software Development :: Libraries |
Evidence: descript_audiotools-0.7.2-py2.py3-none-any.whl
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See also descript-audio-codec · pydub · audiomentations · audioop-lts · torch-audiomentations · audiofile · playsound · pyrubberband · soundfile · sox